Review a candidate's local PDF resume and GitHub repositories, inspect Python and C++ code paths for strengths and weaknesses, search recent interview experi...
Security Analysis
high confidenceThe skill's requested access and runtime instructions are consistent with its stated purpose (resume + repo review and mock interviews); it is an instruction-only package that asks the agent to read provided local files and optionally consult public web/GitHub for context.
Name and description match the declared inputs and behavior: reading a local PDF resume, inspecting local or public GitHub repositories, and searching public interview writeups. The skill does not request unrelated credentials, binaries, or config paths.
SKILL.md explicitly instructs the agent to read local resume PDFs and local repository paths (expected for this functionality) and to discover public GitHub repos and web-based interview writeups 'if the host permits browsing or command execution.' That implies the skill may perform network requests or repository discovery if the environment allows; users should confirm whether their host will enable browsing/command access before assuming full functionality.
No install spec and no code files — instruction-only — so nothing is written to disk or downloaded during install. This is the lowest-risk install model.
The skill declares no required environment variables, credentials, or config paths. That aligns with its scope: public GitHub and web research do not require secrets, and access to private repos is expected to be provided via local paths by the user rather than by requesting tokens.
always is false; the agent can invoke the skill autonomously (normal platform default) and the included agent metadata disallows implicit invocation. The skill does not request persistent system changes or modify other skills' configs.
Guidance
This skill appears coherent and minimal: it will read any resume PDF or local repositories you give it and may query public GitHub and the web for interview writeups if the host permits browsing. Before installing or using it, consider: (1) do you consent to the agent reading the specific local files you provide (resumes may contain personal contact info)? (2) If you want private GitHub repos reviewed, be prepared to supply local repo paths or credentials separately — the skill does not request tokens itself. (3) Check whether your host environment allows outbound web access or command execution, since full repo discovery and up-to-date interview research depend on that. (4) If you have sensitive information in any files, remove or redact it before sharing. If you want more assurance, request a version that logs explicitly what files it reads and where it sends network requests.
Latest Release
v1.0.0
cyber-interviewer v1.0.0 – initial release - Introduces a skill for realistic, evidence-based technical interview preparation using the candidate’s local resume PDF and GitHub repositories. - Supports deep code path analysis, highlighting strengths, weaknesses, tradeoffs, and algorithmic thinking under pressure. - Integrates recent interview experience writeups and company/role-specific signals into the mock interview. - Provides both conversational and structured (report) modes, with support for helper script execution for advanced analysis when possible. - Prioritizes code-grounded questioning and assessment based on resume and genuine repository evidence, not generic interview tips.
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